Application of Data Mining Method Based on Rough Set Theory in Cement Decomposing Furnace
This paper firstly introduced the current status of Chinese flow industry, some difficulties to extract control rules in the course of modern industrial production, and then the paper presented a set of scheme about data mining method based on rough set theory, the algorithm avoided the defects of previous association rule mining, and reduced the computationally efficient obviously. The scheme was put into effect by extracting control rules of decomposing furnace outiets temperature in the course of cement production. The system designed by above-mentioned way achieves a satisfying effect by experimental verification. The results in this paper show that the scheme has merits such as rationality, effectiveness and improving executive efficiency.
rough set decision-making system attribute reduction decomposing furnace rule extraction
Shou-ning Qu Yan-bo Xue Jing Liu Bo Wu
Network information center University of Jinan Jinan, China School of Information Science & Engineering University of Jinan Jinan, China
国际会议
长沙
英文
1552-1555
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）